Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 751422974
• CO2 Emissions (in grams): 2.370895196595982

Validation Metrics

• Loss: 0.15362708270549774
• Accuracy: 0.9345549738219895
• Macro F1: 0.9016011681330569
• Micro F1: 0.9345549738219895
• Weighted F1: 0.9345413976263288
• Macro Precision: 0.9032333514618506
• Micro Precision: 0.9345549738219895
• Weighted Precision: 0.9345804677958041
• Macro Recall: 0.9001021129974442
• Micro Recall: 0.9345549738219895
• Weighted Recall: 0.9345549738219895

Usage

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("crcb/autotrain-emo_carer_nojoylove-751422974", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("crcb/autotrain-emo_carer_nojoylove-751422974", use_auth_token=True)

inputs = tokenizer("I love AutoTrain", return_tensors="pt")

outputs = model(**inputs)